UF-Statistics


Agresti pic

Alan Agresti
Distinguished Professor Emeritus

Department of Statistics
University of Florida
204 Griffin-Floyd Hall
Gainesville, FL 32611-8545

PHONE: (352) 273-2981
FAX: (352) 392-5175
E-MAIL: aa "at" stat "dot" ufl "dot" edu

I was employed by the University of Florida from 1972-2010. I have also had visiting professor positions at Imperial College (London), Harvard University, the London School of Economics, and shorter visiting positions at several universities including Florence and Padova (Italy), Hasselt (Belgium), Paris VII, Boston University, and Oregon State.

Honors

Textbook Information and Supplemental Files

Short Courses

I have taught short courses on categorical data analysis topics for many universities, professional organizations, conferences, and companies, mainly in Europe and the U.S. These range in length from half-day to a week, most commonly one or two days on topics such as "Modeling Ordinal Categorical Responses," "Analyzing Clustered Categorical Data," and "Basic Methods for Categorical Data Analysis."

Research and Publications

My primary research interests have been in categorical data analysis. Here is a pdf file listing all published books and articles.

Books

  • Statistics: The Art and Science of Learning from Data, 2nd edition, Pearson Prentice Hall (2009), with Chris Franklin.

  • Analysis of Ordinal Categorical Data, 2nd ed., Wiley (2010).

  • An Introduction to Categorical Data Analysis, 2nd ed., Wiley (2007).

  • Categorical Data Analysis, 2nd edition, Wiley (2002).

  • Statistical Methods for the Social Sciences, 4th edition, Pearson Prentice Hall (2009) (with B. Finlay).

    • Articles (since 1997)

  • A model for repeated measurements of a multivariate binary response, Journal of the American Statistical Association (1997).

  • Evaluating agreement and disagreement among movie reviewers, CHANCE (1997) (with L. Winner).

  • Approximate is better than exact for interval estimation of binomial proportions, The American Statistician (1998) (with B. Coull).

  • Order-restricted inference for monotone trend alternatives in contingency tables Computational Statistics & Data Analysis (1998) (with B. Coull).

  • On logit confidence intervals for the odds ratio with small samples, Biometrics (1999).

  • The use of mixed logit models to reflect subject heterogeneity in capture-recapture studies, Biometrics (1999) (B. Coull and A. Agresti).

  • Modeling a categorical variable allowing arbitrarily many category choices, Biometrics (1999) (with I. Liu).

  • Modelling ordered categorical data: Recent advances and future challenges, Statistics in Medicine (1999).

  • Random effects modeling of multiple binary responses using the multivariate binomial logit-normal distribution, Biometrics (2000) (B. A. Coull and A. Agresti).

  • Strategies for comparing treatments on a binary response with multi-center data, Statistics in Medicine (2000) (with J. Hartzel).

  • Hierarchical Bayesian analysis of binary matched pairs data, Statistica Sinica (2000) (M. Ghosh, M. Chen, A. Ghosh, and A. Agresti).

  • Noninformative priors for one parameter item response models, Journal of Statistical Planning and Inference (2000) (M. Ghosh, M. Chen, A. Ghosh, and A. Agresti)

  • Challenges for categorical data analysis in the twenty-first century, in Statistics for the 21st Century, edited by C. R. Rao and G. J. Szekely, Marcel Dekker (2000)

  • Summarizing the predictive power of a generalized linear model, Statistics in Medicine (2000) (B. Zheng and A. Agresti)

  • Simple and effective confidence intervals for proportions and difference of proportions result from adding two successes and two failures, The American Statistician (2000) (with B. Caffo)

  • Random effects modeling of categorical response data, Sociological Methodology (2000) (A. Agresti, J. Booth, J. P. Hobert, and B. Caffo)

  • Describing heterogeneous effects in stratified ordinal contingency tables, with application to multi-center clinical trials, Computational Statistics & Data Analysis (2001) (J. Hartzel, I. Liu, and A. Agresti)

  • Strategies for modeling a categorical variable allowing multiple category choices, Sociological Methods and Research (2001) (A. Agresti and I. Liu)

  • Exact inference for categorical data: recent advances and continuing controversies, Statistics in Medicine (2001)

  • A correlated probit model for multivariate repeated measures of mixtures of binary and continuous responses, Journal of American Statistical Association (2001) (R.V. Gueorguieva and A. Agresti)

  • On small-sample confidence intervals for parameters in discrete distributions, Biometrics (2001) (A. Agresti and Y. Min)

  • Multinomial logit random effects models, Statistical Modelling (2001) (J. Hartzel, A. Agresti, and B. Caffo)

  • Modeling clustered ordered categorical data: A survey, International Statistical Review (2001) (A. Agresti and R. Natarajan)

  • Statistical issues in the 2000 U.S. Presidential election in Florida, Journal of Law and Public Policy (Fall 2001 issue) (A. Agresti and B. Presnell)

  • The analysis of contingency tables under inequality constraints, Journal of Statistical Planning and Inference (2002) (A. Agresti and B. A. Coull).

  • Measures of relative model fit, Computational Statistics and Data Analysis (2002) (A. Agresti and B. Caffo).

  • Unconditional small-sample confidence intervals for the odds ratio, Biostatistics (2002) (A. Agresti and Y. Min).

  • Modeling nonnegative data with clumping at zero: A survey, Journal of the Iranian Statistical Society (2002) (Y. Min and A. Agresti).

  • Links between binary and multi-category logit item response models and quasi-symmetric loglinear models, for special issue of Annales de la Faculte des Sciences de Toulouse Mathematiques, to honor retirement of Henri Caussinus, (2002).

  • The 2000 Presidential election in Florida: Misvotes, undervotes, overvotes, Statistical Science (2003) (A. Agresti and B. Presnell).

  • Dealing with discreteness: Making `exact' confidence intervals for proportions, differences of proportions, and odds ratios more exact, Statistical Methods in Medical Research (2003)

  • A class of generalized log-linear models with random effects, Statistical Modelling (2003) (B. A. Coull and A. Agresti).

  • Effects and noneffects of paired identical observations in comparing proportions with binary matched-pairs data, Statistics in Medicine (2004) (A. Agresti and Y. Min).

  • Improved confidence intervals for comparing matched proportions, Statistics in Medicine (2005) (A. Agresti and Y. Min).

  • Interview with Alan Agresti, conducted by Jackie Dietz, STATS (The Magazine for Students of Statistics) (2004).

  • Examples in which misspecification of a random effects distribution reduces efficiency, Computational Statistics & Data Analysis (2004) (A. Agresti, P. Ohman, and B. Caffo).

  • The analysis of ordered categorical data: An overview and a survey of recent developments, invited discussion paper for the Spanish Statistical Journal, TEST (2005) (I. Liu and A. Agresti).

  • Multivariate tests comparing binomial probabilities, with application to safety studies for drugs, Applied Statistics (JRSS-C) (2005) (A. Agresti and B. Klingenberg).

  • Frequentist performance of Bayesian confidence intervals for comparing proportions in 2x2 contingency tables, Biometrics (2005) (A. Agresti and Y. Min).

  • Random effect models for repeated measures of zero-inflated count data, Statistical Modelling (2005) (Y. Min and A. Agresti).

  • Bayesian inference for categorical data analysis, Statistical Methods and Application (Journal of the Italian Statistical Society), (2005) (A. Agresti and D. Hitchcock).

  • Randomized confidence intervals and the mid-P approach, discussion of article by C. Geyer and G. Meeden, Statistical Science, (2005) (A. Agresti and A. Gottard).

  • Multivariate extensions of McNemar's test, Biometrics, (2006) (B. Klingenberg and A. Agresti).

  • Independence in multi-way contingency tables: S. N. Roy's breakthroughs and later developments, Journal of Statistical Planning and Inference, (2007) (A. Agresti and A. Gottard).

  • A class of ordinal quasi-symmetry models for square contingency tables, Statistics and Probability Letters, (2007) (M. Kateri and A. Agresti).

  • Nonconservative exact small-sample inference for discrete data, Computational Statistics and Data Analysis, (2007) (A. Agresti and A. Gottard).

  • Modeling and inference for an ordinal effect size measure, Statistics in Medicine, (2008) (E. Ryu and A. Agresti).

  • Simultaneous confidence intervals for comparing binomial parameters, Biometrics, (2008) (A. Agresti, M. Bini, B. Bertaccini, and E. Ryu).

  • A generalized regression model for a binary response, Statistics and Probability Letters, (2010) (M. Kateri and A. Agresti).

  • Pseudo-score confidence intervals for parameters in discrete statistical models, Biometrika, (2010) (A. Agresti and E. Ryu).

  • Score and pseudo score confidence intervals for categorical data analysis, prepared for Gary Koch festschrift, Statistics in Biopharmaceutical Research, (2011).

  • Quasi-symmetric graphical log-linear models, Scandinavian Journal of Statistics, (2011) (A. Gottard, G.M. Marchetti, and A. Agresti).

    • Old home pages for courses at UF

    Other Information

    The University of Florida Statistics Department home page

    Here is a seminar on the

    Here is the text of an

    Jacki and Alan's

    My roots (and two of my favorite spots on earth)

    Ferrazzano, Molise, Italy

    Forest of Dean, Gloucestershire, England

    (My home page picture at the top was taken by Jacki Levine in the Forest of Dean, among the May bluebells)

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